Literature DB >> 11259822

Methods to investigate spatial and temporal clustering in veterinary epidemiology.

T E Carpenter1.   

Abstract

Due to their contagious or point-source nature, ill-health and diseases often cluster in time and/or space. Overlooking this characteristic can lead to a delay in the control or eradication of the health problem. In addition to potentially expediting control efforts, cluster identification techniques enable the researcher or health-care official to identify and adjust for confounding factors and to generate new hypotheses regarding disease transmission. This paper examines a variety of temporal and spatial clustering techniques and focuses on those which have been reported recently in the veterinary literature.

Mesh:

Year:  2001        PMID: 11259822     DOI: 10.1016/s0167-5877(00)00199-9

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  14 in total

1.  Spatial analysis of an anthrax outbreak in Saskatchewan, 2006.

Authors:  Tasha Epp; Connie Argue; Cheryl Waldner; Olaf Berke
Journal:  Can Vet J       Date:  2010-07       Impact factor: 1.008

2.  Inference of cowpox virus transmission rates between wild rodent host classes using space-time interaction.

Authors:  David Carslake; Malcolm Bennett; Sarah Hazel; Sandra Telfer; Michael Begon
Journal:  Proc Biol Sci       Date:  2006-04-07       Impact factor: 5.349

3.  Spatial epidemiology and GIS in marine mammal conservation medicine and disease research.

Authors:  Stephanie A Norman
Journal:  Ecohealth       Date:  2008-08-05       Impact factor: 3.184

4.  Piroplasmosis in an endemic area: analysis of the risk factors and their implications in the control of Theileriosis and Babesiosis in horses.

Authors:  Eleonora Guidi; Sophie Pradier; Isabelle Lebert; Agnes Leblond
Journal:  Parasitol Res       Date:  2014-10-04       Impact factor: 2.289

5.  Spatial-temporal clustering of companion animal enteric syndrome: detection and investigation through the use of electronic medical records from participating private practices.

Authors:  R M Anholt; J Berezowski; C Robertson; C Stephen
Journal:  Epidemiol Infect       Date:  2014-12-29       Impact factor: 4.434

Review 6.  The application of epidemiology in aquatic animal health -opportunities and challenges.

Authors:  Edmund J Peeler; Nicholas G H Taylor
Journal:  Vet Res       Date:  2011-08-11       Impact factor: 3.683

7.  Connecting network properties of rapidly disseminating epizoonotics.

Authors:  Ariel L Rivas; Folorunso O Fasina; Almira L Hoogesteyn; Steven N Konah; José L Febles; Douglas J Perkins; James M Hyman; Jeanne M Fair; James B Hittner; Steven D Smith
Journal:  PLoS One       Date:  2012-06-25       Impact factor: 3.240

8.  Sample size estimation to substantiate freedom from disease for clustered binary data with a specific risk profile.

Authors:  P Kostoulas; S S Nielsen; W J Browne; L Leontides
Journal:  Epidemiol Infect       Date:  2012-09-07       Impact factor: 4.434

9.  A space-time analysis of Mycoplasma bovis: bulk tank milk antibody screening results from all Danish dairy herds in 2013-2014.

Authors:  Margarida Arede; Per Kantsø Nielsen; Syed Sayeem Uddin Ahmed; Tariq Halasa; Liza Rosenbaum Nielsen; Nils Toft
Journal:  Acta Vet Scand       Date:  2016-02-29       Impact factor: 1.695

10.  Spatial analysis for bovine viral diarrhea virus and bovine herpesvirus type 1 infections in the state of Paraíba, northeastern Brazil.

Authors:  Leíse Gomes Fernandes; Edviges Maristela Pituco; Adriana Hellmeister de Campos Nogueira Romaldini; Eliana De Stefano; Inácio José Clementino; Amanda Rafaela Alves Maia; Carolina de Sousa Américo Batista Santos; Clebert José Alves; Sérgio Santos de Azevedo
Journal:  BMC Vet Res       Date:  2018-03-20       Impact factor: 2.741

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